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    Data Science - hyderabad, India - PepsiCo

    PepsiCo
    PepsiCo hyderabad, India

    1 week ago

    Pepsico background
    Full time
    Description
    Responsibilities

    With regards to Instore development (PICOS ROI/ PME)

  • Guide/advise end-stakeholders when it comes to data requirements, data sources, data formats, etc.
  • Assuring the data quality and data format of the received data to run the analysis
  • for PICOS ROI specifically - mold/transform the to-be-used data sources into the correct data template in order to run the PICOS analysis (high Python programming proficiency is required here)
  • for PME specifically - identify any deviations from the required data template and clearly communicate them to the end-stakeholders to assure amendments
  • With the right data in hand, run the PICOS ROI/PME tools through a standalone application / via a series of Python scripts accordingly
  • Provide the end stake-holder a deliverable (in a pre-agreed format, , PPTX) that summarizes the output of the analysis, including conclusions
  • Develops and maintains database of PICOS ROI/ PME projects outcomes, performs meta-analysis to build conclusions into global playbooks
  • Collaborate with Global Data Science teams to align and adhere to the best practices
    • Qualifications
  • 7+ years' experience in ML/Statistical techniques to solve supervised (regression, classification) and unsupervised problems in either private or public sector
  • Familiarity with mathematical & statistical models underlying data science methods
  • Experience and functional familiarity with software development and data engineering best practices
  • Experience and familiarity with NumPy, Pandas, Pytorch, and Snowflake/SQL
  • Ability to translate business requirements into critical data dependencies and requirements
  • Outstanding project management skills
  • High EQ, verbal and written communication skills (MS Office tools like excel PPT etc.., stakeholder management
  • Advanced analytical skills, ease of work with big data sets and multiple data sources together with ability to synthesize, simplify & persuasively communicate complex findings
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